docs: def results_class_wise_metrics(self):
          """Class-wise metrics
  
          Returns
          -------
          dict
              results in a dictionary format
  
          """
  
          results = {}
          for scene_id, scene_label in enumerate(self.scene_label_list):
              if scene_label not in results:
                  results[scene_label] = {}
  
              results[scene_label]['count'] = {}
              results[scene_label]['count']['Ncorr'] = self.scene_wise[scene_label]['Ncorr']
              results[scene_label]['count']['Nref'] = self.scene_wise[scene_label]['Nref']
              results[scene_label]['count']['Nsys'] = self.scene_wise[scene_label]['Nsys']
              results[scene_label]['accuracy'] = {
                  'accuracy': metric.accuracy_corr(
                      Ncorr=self.scene_wise[scene_label]['Ncorr'],
                      N=self.scene_wise[scene_label]['Nref']
                  )
              }
  
          return results